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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 9871
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    Explanations

    terms related to mechanical and imaging processes, particularly involving iron and imaging techniques in medical contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    ironing or MRF train

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     للاسماء
    -0.67
     betweenstory
    -0.55
    migrationBuilder
    -0.51
    Personensuche
    -0.51
     FetchType
    -0.49
     }{@
    -0.47
    étaires
    -0.46
    Predecesor
    -0.46
     TextAlign
    -0.45
    ſelves
    -0.45
    POSITIVE LOGITS
     ironing
    0.59
    astify
    0.41
     smoothing
    0.40
    熨
    0.39
     heat
    0.39
     irons
    0.38
    issens
    0.37
    heat
    0.37
    CodedInputStream
    0.36
    Hot
    0.36
    Activations Density 0.125%

    No Known Activations